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The Diversity–Innovation Paradox in ScienceProceedings of the National Academy of Sciences - PNAS, 2020-04, Vol.117 (17), p.9284-9291 [Peer Reviewed Journal]Copyright National Academy of Sciences Apr 28, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1915378117 ;PMID: 32291335Full text available |
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Design of task-specific optical systems using broadband diffractive neural networksLight, science & applications, 2019-12, Vol.8 (1), p.112-14, Article 112 [Peer Reviewed Journal]The Author(s) 2019. ;2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 2047-7538 ;ISSN: 2095-5545 ;EISSN: 2047-7538 ;DOI: 10.1038/s41377-019-0223-1 ;PMID: 31814969Full text available |
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Empirical comparison and analysis of web-based cell-penetrating peptide prediction toolsBriefings in bioinformatics, 2020-03, Vol.21 (2), p.408-420 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bby124 ;PMID: 30649170Full text available |
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Meta-Learning in Neural Networks: A SurveyIEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5149-5169 [Peer Reviewed Journal]ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2021.3079209 ;PMID: 33974543 ;CODEN: ITPIDJDigital Resources/Online E-Resources |
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Material Type: Article
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A guide to machine learning for biologistsNature reviews. Molecular cell biology, 2022-01, Vol.23 (1), p.40-55 [Peer Reviewed Journal]2021. Springer Nature Limited. ;Springer Nature Limited 2021. ;ISSN: 1471-0072 ;EISSN: 1471-0080 ;DOI: 10.1038/s41580-021-00407-0 ;PMID: 34518686Full text available |
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Causality matters in medical imagingNature communications, 2020-07, Vol.11 (1), p.3673-3673, Article 3673 [Peer Reviewed Journal]The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17478-w ;PMID: 32699250Full text available |
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Material Type: Article
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Advancing mathematics by guiding human intuition with AINature (London), 2021-12, Vol.600 (7887), p.70-74 [Peer Reviewed Journal]2021. The Author(s). ;Copyright Nature Publishing Group Dec 2, 2021 ;The Author(s) 2021 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-021-04086-x ;PMID: 34853458Full text available |
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Material Type: Article
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Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic studyThe lancet oncology, 2019-12, Vol.20 (12), p.1645-1654 [Peer Reviewed Journal]2019 Elsevier Ltd ;2019. Elsevier Ltd ;ISSN: 1470-2045 ;EISSN: 1474-5488 ;DOI: 10.1016/S1470-2045(19)30637-0Full text available |
9 |
Material Type: Article
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Real-Time Hyperbola Recognition and Fitting in GPR DataIEEE transactions on geoscience and remote sensing, 2017-01, Vol.55 (1), p.51-62 [Peer Reviewed Journal]ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2016.2592679 ;CODEN: IGRSD2Digital Resources/Online E-Resources |
10 |
Material Type: Article
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Reconciling modern machine-learning practice and the classical bias–variance trade-offProceedings of the National Academy of Sciences - PNAS, 2019-08, Vol.116 (32), p.15849-15854 [Peer Reviewed Journal]Copyright National Academy of Sciences Aug 6, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1903070116 ;PMID: 31341078Full text available |
11 |
Material Type: Article
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Deep learning for the design of photonic structuresNature photonics, 2021-02, Vol.15 (2), p.77-90 [Peer Reviewed Journal]Springer Nature Limited 2020. ;ISSN: 1749-4885 ;EISSN: 1749-4893 ;DOI: 10.1038/s41566-020-0685-yFull text available |
12 |
Material Type: Article
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Definitions, methods, and applications in interpretable machine learningProceedings of the National Academy of Sciences - PNAS, 2019-10, Vol.116 (44), p.22071-22080 [Peer Reviewed Journal]Copyright National Academy of Sciences Oct 29, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1900654116 ;PMID: 31619572Full text available |
13 |
Material Type: Article
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Machine learning for chemical discoveryNature communications, 2020-08, Vol.11 (1), p.4125-4125, Article 4125 [Peer Reviewed Journal]The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17844-8 ;PMID: 32807794Full text available |
14 |
Material Type: Article
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Machine Learning in MedicineThe New England journal of medicine, 2019-04, Vol.380 (14), p.1347-1358 [Peer Reviewed Journal]Copyright © 2019 Massachusetts Medical Society. All rights reserved. ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMra1814259 ;PMID: 30943338Full text available |
15 |
Material Type: Article
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All-optical information-processing capacity of diffractive surfacesLight, science & applications, 2021-01, Vol.10 (1), p.25-25, Article 25 [Peer Reviewed Journal]The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2047-7538 ;ISSN: 2095-5545 ;EISSN: 2047-7538 ;DOI: 10.1038/s41377-020-00439-9 ;PMID: 33510131Full text available |
16 |
Material Type: Article
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Mapping the NFT revolution: market trends, trade networks, and visual featuresScientific reports, 2021-10, Vol.11 (1), p.20902-20902, Article 20902 [Peer Reviewed Journal]2021. The Author(s). ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-00053-8 ;PMID: 34686678Full text available |
17 |
Material Type: Article
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Backpropagation and the brainNature reviews. Neuroscience, 2020-06, Vol.21 (6), p.335-346 [Peer Reviewed Journal]COPYRIGHT 2020 Nature Publishing Group ;Springer Nature Limited 2020. ;ISSN: 1471-003X ;EISSN: 1471-0048 ;DOI: 10.1038/s41583-020-0277-3 ;PMID: 32303713Full text available |
18 |
Material Type: Article
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Explaining the unique nature of individual gait patterns with deep learningScientific reports, 2019-02, Vol.9 (1), p.2391-2391, Article 2391 [Peer Reviewed Journal]This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-38748-8 ;PMID: 30787319Full text available |
19 |
Material Type: Article
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Machine learning quantum phases of matter beyond the fermion sign problemScientific reports, 2017-08, Vol.7 (1), p.8823-10, Article 8823 [Peer Reviewed Journal]2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2017 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-017-09098-0 ;PMID: 28821785Full text available |
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Material Type: Article
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Synthesis and characterization of Mono-disperse Carbon Quantum Dots from Fennel Seeds: Photoluminescence analysis using Machine LearningScientific reports, 2019-09, Vol.9 (1), p.14004-12, Article 14004 [Peer Reviewed Journal]2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-50397-5 ;PMID: 31570739Full text available |